To analyze coin image has to be segmented into two regions once of the coin and the area belonging to the background. We focus on the segmentation task as a preprocessing step for any automated text localization and feature extraction system. Firstly, we present a simple and flexible method for coin segmentation, based on double seed of region growing of coin on Gaussian distributions that allo...

Anxiety prepares an organism for dealing with threats by recruiting cognitive resources to process information about the threat, and by engaging physiological systems to prepare a response. Heightened trait anxiety is associated with biases in both these processes: high trait-anxious individuals tend to report heightened risk perceptions, and inappropriate engagement in danger mitigation behavi...

In the demonstration, we present a new system that performs fast and reliable classification digital photographs of coins. The system is called Coin-o-matic, and is capable of recognizing 700 different coins with over 2,000 coin faces. In its current version, Coin-o-matic classifies approximately 94% of the coins in our testsets correctly, whereas the percentage of misclassifications is around ...

Roman coins play an important role to understand the Roman empire because they convey rich information about key historical events of the time. Moreover, as large amounts of coins are daily traded over the Internet, it becomes necessary to develop automatic coin recognition systems to prevent illegal trades. In this paper, we describe a new large annotated database of over 2800 Roman coin image...

Evolution operators of certain quantum walks possess, apart from the continuous part, also point spectrum. The existence of eigenvalues and the corresponding stationary states lead to partial trapping of the walker in the vicinity of the origin. We analyze the stability of this feature for three-state quantum walks on a line subject to homogenous coin deformations. We find two classes of coin o...

This paper represents algorithm for recognition of the coins of different denomination. The proposed system first uses a canny edge detection to generate an edge map, then uses CHT (Circular Hough transform) to recognize the coins and further find the radii of them. Based on the radius of the coin, the coins of different denomination are classified. The experimental result shows that the Hough ...

The automatic identification of coins from photos helps coin experts to accelerate their study of coins and to reduce the associated expenses. To address this challenging problem for numismatic applications, we propose a novel coin identification system that consists of two stages. In the first stage, an active model based segmentation approach extracts precisely the coin from the photo with it...

The common coins in circulation in Pakistan are of denominations 1, 2 and 5 rupees. Rupee 1 coin (composed of bronze and aluminum and brownish in color) and Rupee 2 coin (composed of brass and aluminum and yellowish in color) were issued in September 1998 by State Bank. While rupee 5 coin (composed of copper and nickel and white in color) was issued later in December 2002. These coins, by compo...

Coin which act as the basic need of the human being and today life of human beings depends solely on machines so the detection and recognition of coin is very important rather than counting coins manually. One can easily detect and recognize the coins by using various techniques. This paper focuses on the variety of techniques that have being used to detect and recognize the coins of different ...

Problems of detecting two (or one of two) irregular coins x and y among a set of n coins are considered. The testing device is such that it returns feedback 1 if x belongs to the test set and y does not, while it returns feedback 0 otherwise. We present a lower bound on the worst-case number of tests necessary to nd one of the two irregular coins as well as on the worst-case number of tests to ...